Difference between revisions of "Modules:ARCTIC-Documentation-3.6"

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Slicer3 modules: RegisterImages and ResampleScalarVectorDWIVolume
* Slicer3 modules:
** RegisterImages
** ResampleScalarVectorDWIVolume
* Atlas:
* Libraries:

Revision as of 21:40, 31 March 2010

Home < Modules:ARCTIC-Documentation-3.6

Return to Slicer 3.6 Documentation

Gallery of New Features

Module Name


T1 skull-stripped image
Parcellation image
Cortical thickness on WM surface
Cortical thickness information

General Information

Module Type & Category

Type: CLI

Category: Pipeline

Authors, Collaborators & Contact

  • Author1: Cedric Mathieu, UNC-Chapel Hill
  • Contributor1: Clement Vachet, UNC-Chapel Hill
  • Contributor2: Martin Styner, UNC-Chapel Hill
  • Contributor3: Heather Cody Hazlett, UNC-Chapel Hill
  • Contact: Clement Vachet, cvachet[at]email[dot]unc[dot]edu

Module Description

ARCTIC (Automatic Regional Cortical ThICkness) is an end-to-end application developped at UNC-Chapel Hill allowing individual analysis of cortical thickness. This cross-platform tool can be run within Slicer3 as an external module, or directly as a command line.


Use Cases, Examples

This module is especially appropriate when one wants to perform individual regional cortical thickness analysis. ARCTIC allows efficient QC via precomputed 3D-Slicer scenes.


Quick Tour of Features and Use

A list panels in the interface, their features, what they mean, and how to use them. For instance:

  • Input 1: Raw Images
    • T1-weighted image:
    • T2-weighted image:
    • PD-weighted image:
    • Tissue segmentation atlas directory:
    • Segmentation atlas type (T1 or T2, default: T1): select at
  • Input 2: Segmented Images
    • Tissue segmentation image:
    • White matter label (default: 1)
    • Gray matter label (default: 2)
    • CSF label:
    • Raw image:
  • Output:
    • Cortical thickness on white matter boundary:
    • Cortical thickness on gray matter boundary
    • Cortical thickness results directory:
    • ID number:
  • Parcellation:
    • Case parcellation image:
    • Atlas parcellation image:
    • Atlas image:
    • Atlas parcellation orientation:
  • Advanced tissue segmentation parameters
  • Advanced skull-stripping parameters
  • Advanced registration parameters:
User Interface


Notes from the Developer(s)

Algorithms used, library classes depended upon, use cases, etc.


  • Slicer3 modules:
    • RegisterImages
    • ResampleScalarVectorDWIVolume
  • Atlas:
  • Libraries:


On the Dashboard, these tests verify that the module is working on various platforms:

Known bugs

Links to known bugs in the Slicer3 bug tracker

Usability issues

Follow this link to the Slicer3 bug tracker. Please select the usability issue category when browsing or contributing.

Source code & documentation

Download release source code via svn:

More Information


This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on the National Centers for Biomedical Computing can be obtained from http://nihroadmap.nih.gov/bioinformatics


Publications related to this module go here. Links to pdfs would be useful.